Processing method and device for identifying coronary artery stenosis characteristics based on coronary magnetic resonance angiography

Abstract

The embodiment of the present invention relates to a processing method and device for identifying coronary stenosis characteristics based on coronary magnetic resonance angiography, the method comprising: receiving personal information of a subject; performing respiratory navigation-gated 3D sBTFE sequence coronary magnetic resonance angiography on the subject to obtain left and right coronary bright blood imaging; and evaluating the imaging quality, and continuing angiography until it is qualified when the evaluation is unqualified; and screening for coronary stenosis trend according to bright blood imaging and personal information when the evaluation is qualified; generating a corresponding report output when the screening result is not stenosis; performing respiratory navigation-gated DIRFSE sequence coronary magnetic resonance angiography on the subject to obtain left and right coronary black blood imaging when the screening result is stenosis, and evaluating the imaging quality, and continuing angiography until it is qualified when the evaluation is unqualified, and performing coronary plaque feature recognition according to black blood imaging when the evaluation is qualified, and generating a corresponding report output. The present invention can improve inspection efficiency and recognition quality.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a processing method and device for identifying coronary artery stenosis characteristics based on coronary magnetic resonance angiography. Background Art

[0002] Coronary Atherosclerosis Heart Disease (CHD), also known as coronary heart disease, is a heart disease caused by atherosclerotic lesions in the coronary arteries, which causes stenosis or blockage of the vascular lumen, resulting in myocardial ischemia, hypoxia, and even necrosis. Patients with coronary heart disease will have atherosclerotic plaques of varying degrees on the local vascular walls of their coronary arteries. The current conventional technical means for examining coronary heart disease is to perform imaging examinations of the subjects' coronary arteries based on contrast-enhanced CT (Computer Tomography Angio, CTA) technology, and to identify the stenosis trend of the coronary arteries and the plaque characteristics related to coronary artery stenosis through CTA images. However, this CTA technology requires the injection of a large dose of contrast agent into the subjects during the examination, which is an invasive examination method. For subjects with poor physical fitness and / or older age, it will still cause a certain degree of adverse effects on the subjects.

[0003] Magnetic resonance angiography (MRA) technology can provide a non-invasive angiography imaging method without contrast agent injection. When performing scanning imaging based on MRA technology, the blood pool signal can be highlighted by bright blood technology, and the tissue signal can be highlighted by black blood technology. At present, the coronary heart disease examination program based on MRA bright blood technology is relatively mature, and this program can eliminate the physical harm of contrast agents to the subjects. However, this technical solution based on MRA bright blood technology also has some shortcomings: 1) During the examination, the subject needs to cooperate with multiple breath holding. If the subject is older, has weak cardiopulmonary function, weak mind, or is not conscious, it is difficult to cooperate with effective breath holding, which may lead to reduced imaging quality and reduced inspection efficiency; 2) The contrast imaging obtained based on bright blood technology lacks clear signal contrast between blood flow in the vessel wall, vessel wall tissue and extravascular tissue, which easily leads to unclear recognition of plaque features related to the location of coronary stenosis, reducing recognition quality.

[0004] To address the above two deficiencies, we introduced the mature Navigator Echo (NE) triggered MRA scanning mechanism (also known as the Navigator Gated MRA scanning mechanism) and black blood imaging technology to improve the conventional breath-hold MRA bright blood imaging scheme. Specifically: 1) Replace the conventional breath-hold MRA scanning mechanism with the Navigator Gated MRA scanning mechanism; 2) Perform a scan of the subject's coronary artery based on the MRA bright blood imaging technology, and pre-screen the subject's coronary artery stenosis trend based on the scanning imaging, and if the pre-screening finds the presence of stenosis, perform another scan of the subject's coronary artery based on the MRA black blood imaging technology, and identify the subject's plaque features related to coronary artery stenosis based on the scanning imaging. The technical problem to be solved by the present invention is how to implement this improved scheme. Summary of the invention

[0005] The purpose of the present invention is to address the defects of the prior art and provide a processing method, device, electronic device and computer-readable storage medium for identifying coronary stenosis characteristics based on coronary magnetic resonance angiography. The present invention first performs a respiratory navigation-gated 3D sBTFE sequence coronary magnetic resonance angiography on the subject to obtain the corresponding left and right coronary bright blood imaging, and performs an imaging quality assessment on the bright blood imaging obtained this time; and if the current assessment is unqualified, the bright blood angiography imaging is redone until the assessment is qualified, and if the assessment is qualified, the coronary stenosis trend screening is performed based on the latest left and right coronary bright blood imaging and the subject's personal information; if the screening results confirm that there is no stenosis, the corresponding coronary stenosis feature report is composed of the subject's personal information + the latest left and right coronary bright blood imaging + stenosis trend screening results and output; if the screening results confirm that there is a stenosis, the subject is subjected to a respiratory navigation-gated DIR The FSE sequence coronary artery magnetic resonance angiography obtains the corresponding left and right coronary black blood imaging, and performs an imaging quality assessment on the black blood imaging obtained this time, and redoes the black blood angiography imaging once when the assessment is unqualified until the assessment is qualified, and performs coronary artery plaque feature recognition based on the latest left and right coronary black blood imaging when the assessment is qualified, and the corresponding coronary artery stenosis feature report is composed of the subject's personal information + the latest left and right coronary bright blood imaging + the latest left and right coronary black blood imaging + stenosis trend screening results + coronary plaque recognition results and outputs. The present invention can, on the one hand, avoid the breath-holding operation during the MRA scanning process and improve the inspection efficiency; on the other hand, the recognition quality is improved by introducing black blood imaging technology.

[0006] To achieve the above-mentioned purpose, a first aspect of an embodiment of the present invention provides a processing method for identifying coronary artery stenosis characteristics based on coronary magnetic resonance angiography, the method comprising:

[0007] receiving the personal information of the subject as the corresponding first personal information;

[0008] Performing a respiratory navigation-gated 3D sBTFE sequence coronary artery magnetic resonance angiography on the subject to obtain corresponding left and right coronary bright blood imaging; and performing imaging quality assessment on the left and right coronary bright blood imaging obtained this time to obtain a corresponding first assessment result; and when the first assessment result is unqualified, continuing to perform a respiratory navigation-gated 3D sBTFE sequence coronary artery magnetic resonance angiography on the subject until the first assessment result corresponding to the latest left and right coronary bright blood imaging is qualified; and when the first assessment result is qualified, performing coronary artery stenosis trend screening based on the latest left and right coronary bright blood imaging and the first personal information to obtain a corresponding first screening result; the first assessment result includes qualified and unqualified; the first screening result includes stenosis and non-stenosis;

[0009] When the first screening result is no stenosis, a corresponding coronary stenosis characteristic report is composed of the first personal information, the latest left and right coronary artery bright blood imaging and the first screening result;

[0010] When the first screening result is stenosis, the subject is subjected to a respiratory navigation-gated DIR FSE sequence coronary magnetic resonance angiography to obtain corresponding left and right coronary black blood images; and the imaging quality of the left and right coronary black blood images obtained this time is evaluated to obtain a corresponding second evaluation result; and when the second evaluation result is unqualified, the subject is continuously subjected to a respiratory navigation-gated DIR FSE sequence coronary magnetic resonance angiography until the second evaluation result corresponding to the latest left and right coronary black blood images is qualified; and when the second evaluation result is qualified, coronary plaque feature recognition is performed based on the latest left and right coronary black blood images to obtain a corresponding first coronary plaque recognition result; and the first personal information, the latest left and right coronary bright blood images, the latest left and right coronary black blood images, the first screening result and the first coronary plaque recognition result form a corresponding coronary stenosis feature report; the second evaluation result includes qualified and unqualified;

[0011] The coronary artery stenosis feature report is output as the corresponding coronary artery stenosis feature recognition result.

[0012] Preferably, the first personal information includes name, gender, age and place of origin.

[0013] Preferably, performing a respiratory navigation-gated 3D sBTFE sequence coronary artery magnetic resonance angiography on the subject to obtain corresponding left and right coronary bright blood imaging specifically includes:

[0014] The subject is placed in a supine position, and a VCG and a respiratory gating device are connected to the subject; the left and right coronary arteries of the subject are scanned once respectively using a designated magnetic resonance imaging device based on a respiratory navigation echo-triggered coronary artery magnetic resonance angiography scanning method, and the obtained scan images are used as the corresponding left and right coronary bright blood images; and during the scanning, a 3D sBTFE sequence is used as the scanning imaging sequence, and the fat signal obtained during the scanning process is suppressed based on the magnetic resonance fat suppression technology, and the myocardial tissue signal obtained during the scanning process and the accompanying vein signal near the coronary artery are suppressed based on the T2 pre-pulse; the magnetic resonance fat suppression technology includes SPAIR technology and SPIR technology.

[0015] Preferably, the imaging quality assessment of the left and right coronary bright blood imaging obtained this time is performed to obtain a corresponding first assessment result, specifically including:

[0016] Based on the preset five-level image quality evaluation rule, the imaging quality of the left and right coronary bright blood imaging is evaluated to obtain the corresponding first and second quality levels; the first and second quality levels both include one, two, three, four, and five levels, and the higher the level, the better the quality;

[0017] The signal-to-noise ratio (SNR) parameters in the coronary artery in the left and right coronary bright blood imaging are calculated to obtain the corresponding first and second SNR values; and the contrast-to-noise ratio (CNR) parameters between the coronary artery and the adjacent heart tissue in the left and right coronary bright blood imaging are calculated to obtain the corresponding first and second CNR values;

[0018] and when both the first and second quality levels exceed a preset first quality level threshold, and both the first and second SNR values ​​exceed a preset first SNR threshold, and both the first and second CNR values ​​exceed a preset first CNR threshold, setting the corresponding first evaluation result as qualified;

[0019] And when the first and second quality levels fail to both exceed the first quality level threshold, or the first and second SNR values ​​fail to both exceed the first SNR threshold, or the first and second CNR values ​​fail to both exceed the first CNR threshold, the corresponding first evaluation result is set as unqualified.

[0020] Preferably, the coronary artery stenosis trend screening is performed according to the latest left and right coronary artery bright blood imaging and the first personal information to obtain the corresponding first screening result, specifically including:

[0021] Performing blood vessel inner wall edge recognition of the LM segment, LAD segment and LCX segment on the left coronary bright blood imaging to obtain the corresponding first, second and third blood vessel edge segments; and performing corresponding blood vessel lumen centerline recognition of the LM segment, LAD segment and LCX segment on the left coronary bright blood imaging based on the first, second and third blood vessel edge segments to obtain the corresponding first, second and third segment centerlines;

[0022] and performing RCA segment vascular inner wall edge recognition on the right coronary bright blood imaging to obtain the corresponding fourth segment vascular edge; and performing RCA segment vascular lumen centerline recognition on the right coronary bright blood imaging based on the fourth segment vascular edge to obtain the corresponding fourth segment centerline;

[0023] A stenosis trend screening is performed based on the first, second, third and fourth segments of blood vessel edges and the corresponding first, second, third and fourth segments of center lines and the first personal information to obtain the corresponding first screening result.

[0024] Further, the stenosis trend screening based on the first, second, third and fourth segments of blood vessel edges and the corresponding first, second, third and fourth segments of center lines and the first personal information to obtain the corresponding first screening result specifically includes:

[0025] The LM segment, LAD segment, LCX segment or RCA segment blood vessel corresponding to the edge of the first, second, third or fourth segment blood vessel is used as the corresponding current segment blood vessel; the edge of the first, second, third or fourth segment blood vessel is used as the corresponding current segment blood vessel edge; the corresponding centerline of the first, second, third or fourth segment is used as the corresponding current segment blood vessel centerline; the current segment blood vessel includes the LM segment, LAD segment, LCX segment and RCA segment blood vessels;

[0026] Based on the first personal information, the corresponding four types of blood vessel diameter ranges are extracted from the preset healthy population cardiovascular statistical information table, specifically: the corresponding gender, age and place of origin are extracted from the first personal information as the corresponding first gender parameter, first age parameter and first region parameter; and the statistical information of the blood vessel diameter ranges of the LM segment, LAD segment, LCX segment and RCA segment of the first cardiovascular statistical information field of the first statistical record whose first region field matches the first region parameter, whose first age field matches the first age parameter and whose first gender field matches the first gender parameter in the healthy population cardiovascular statistical information table is extracted as the corresponding blood vessel diameter ranges of the LM segment, LAD segment, LCX segment and RCA segment to form the corresponding four types of blood vessel diameter ranges; wherein the healthy population cardiovascular statistical information table includes a plurality of the first statistical records; the first statistical record includes the first region field, the first age field, the first gender field and the first cardiovascular statistical information field; the first cardiovascular statistical information field includes the statistical information of the blood vessel diameter ranges of the LM segment, LAD segment, LCX segment and RCA segment; the four types of blood vessel diameter ranges include the blood vessel diameter ranges of the LM segment, LAD segment, LCX segment and RCA segment;

[0027] and taking the blood vessel diameter range corresponding to the current segmented blood vessel in the four types of blood vessel diameter ranges as the corresponding current blood vessel diameter range;

[0028] and taking the stenosis threshold corresponding to the current segmented blood vessel among the preset four types of stenosis thresholds as the corresponding current stenosis threshold; the four types of stenosis thresholds include LM segment, LAD segment, LCX segment and RCA segment stenosis thresholds;

[0029] The average diameter and stenosis of the current segmented blood vessel are calculated according to the center line of the current segmented blood vessel and the edge of the current segmented blood vessel to obtain the corresponding first average diameter and first stenosis, specifically: starting from the starting position of the center line of the current segmented blood vessel, sampling is performed at a preset sampling interval to obtain a plurality of center line sampling points; and a tangent to the center line of the current segmented blood vessel is made at each center line sampling point and recorded as the corresponding sampling point tangent; and a perpendicular to the current sampling point tangent is made at each center line sampling point and recorded as the corresponding sampling point perpendicular; and the length of the straight line segment between the two points where the perpendicular to each sampling point intersects with the edge of the current segmented blood vessel is taken as the corresponding sampling point diameter; and the maximum and minimum values ​​are extracted from all the sampling point diameters as the corresponding maximum and minimum diameters; and the mean of all the sampling point diameters is calculated to obtain the corresponding first average diameter; and the ratio of the absolute difference between the maximum and minimum diameters to the maximum diameter is taken as the corresponding first stenosis; wherein, the larger the first stenosis, the narrower the corresponding blood vessel position, and the smaller the first stenosis, the wider the corresponding blood vessel position;

[0030] And according to the corresponding first average diameter and the first stenosis, the current segmented blood vessel is screened for stenosis trend to obtain the corresponding segmented blood vessel screening result, specifically: whether the first average diameter meets the current diameter range is identified; if the first average diameter meets the current diameter range, whether the first stenosis exceeds the current stenosis threshold is identified, if it exceeds, the corresponding segmented blood vessel screening result is set as stenosis, if not, the corresponding segmented blood vessel screening result is set as non-stenosis; if the first average diameter does not meet the current diameter range, the corresponding segmented blood vessel screening result is set as stenosis; wherein the segmented blood vessel screening results include stenosis and non-stenosis;

[0031] And it is identified whether the screening results of the four segmented blood vessels corresponding to the LM segment, LAD segment, LCX segment and RCA segment are all not stenotic; if so, the corresponding first screening result is set as not stenotic; if not, the corresponding first screening result is set as stenosis.

[0032] Preferably, performing a respiratory navigation-gated DIR FSE sequence coronary artery magnetic resonance angiography on the subject to obtain corresponding left and right coronary black blood imaging specifically includes:

[0033] The subject is placed in a supine position, and a VCG and a respiratory gating device are connected to the subject; the left and right coronary arteries of the subject are scanned once respectively using a designated magnetic resonance imaging device based on a respiratory navigation echo-triggered coronary artery magnetic resonance angiography scanning method, and the obtained scan images are used as the corresponding left and right coronary black blood images; and the DIR FSE sequence is used as the scanning imaging sequence during the scanning.

[0034] Preferably, the imaging quality assessment of the left and right coronary artery black blood imaging obtained this time is performed to obtain a corresponding second assessment result, specifically including:

[0035] Based on the preset five-level image quality evaluation rule, the imaging quality of the left and right coronary black blood imaging is evaluated to obtain the corresponding third and fourth quality levels; the third and fourth quality levels both include one, two, three, four, and five levels, and the higher the level, the better the quality;

[0036] The signal-to-noise ratio (SNR) parameters in the coronary artery in the left and right coronary black blood imaging are calculated to obtain corresponding third and fourth SNR values; and the contrast-to-noise ratio (CNR) parameters between the coronary artery and adjacent heart tissue in the left and right coronary black blood imaging are calculated to obtain corresponding third and fourth CNR values;

[0037] and when the third and fourth quality levels both exceed the preset second quality level threshold, and the third and fourth SNR values ​​both exceed the preset second SNR threshold, and the third and fourth CNR values ​​both exceed the preset second CNR threshold, setting the corresponding second evaluation result as qualified;

[0038] And when the third and fourth quality levels fail to both exceed the second quality level threshold, or the third and fourth SNR values ​​fail to both exceed the second SNR threshold, or the third and fourth CNR values ​​fail to both exceed the second CNR threshold, the corresponding second evaluation result is set as unqualified.

[0039] Preferably, the performing coronary artery plaque feature recognition based on the latest left and right coronary artery black blood imaging to obtain the corresponding first coronary artery plaque recognition result specifically includes:

[0040] The inner wall edges of the blood vessels of the LM segment, LAD segment and LCX segment of the left coronary artery black blood imaging are identified to obtain the corresponding fifth, sixth and seventh blood vessel edges; and the inner wall edges of the blood vessels of the RCA segment of the right coronary artery black blood imaging are identified to obtain the corresponding eighth blood vessel edges; and plaque identification processing is performed based on the fifth, sixth, seventh and eighth blood vessel edges to obtain the corresponding first coronary plaque identification result; the first coronary plaque identification result includes one or more first plaque identification information; the first plaque identification information includes blood vessel segment information where the plaque is located, plaque location information, plaque size information, plaque load information, plaque SNR information and plaque CNR information; the blood vessel segment information where the plaque is located includes the LM segment, LAD segment, LCX segment and RCA segment blood vessels.

[0041] Furthermore, the performing plaque recognition processing based on the fifth, sixth, seventh and eighth blood vessel edges to obtain the corresponding first coronary plaque recognition result specifically includes:

[0042] The LM segment, LAD segment, LCX segment or RCA segment blood vessel corresponding to the fifth, sixth, seventh or eighth segment blood vessel edge is used as the corresponding current segment blood vessel; the left coronary artery black blood imaging or the right coronary artery black blood imaging corresponding to the current segment blood vessel is used as the corresponding current coronary artery black blood imaging; the fifth, sixth, seventh or eighth segment blood vessel edge is used as the corresponding current segment blood vessel edge; the current segment blood vessel includes the LM segment, LAD segment, LCX segment and RCA segment blood vessels;

[0043] The left and right edges of the current segmented blood vessel edge are recorded as the corresponding left and right blood vessel edges; a strip-shaped imaging region with a width of a preset first width extending from the left blood vessel edge to the outside of the blood vessel on the current coronary black blood imaging is recorded as the corresponding left strip-shaped region; and a strip-shaped imaging region with a width of the first width extending from the right blood vessel edge to the outside of the blood vessel on the current coronary black blood imaging is recorded as the corresponding right strip-shaped region;

[0044] and sequentially slicing the left and right stripe regions according to a preset slicing rule to obtain corresponding left and right stripe slicing region sequences; the left and right stripe slicing region sequences are both formed by sequentially arranging a plurality of stripe slicing regions;

[0045] The plaque load parameter and signal-to-noise ratio (SNR) parameter of each of the strip slice regions are calculated to obtain a corresponding slice plaque load value and slice SNR value; the contrast-to-noise ratio (CNR) parameter of each of the strip slice regions and adjacent cardiac tissue is calculated to obtain a corresponding slice CNR value; and the strip slice region whose slice plaque load value is higher than a preset plaque load threshold, whose slice SNR value is higher than a preset plaque SNR value threshold, and whose slice CNR value is higher than a preset plaque CNR value threshold is recorded as a corresponding plaque slice region;

[0046] In the left and right strip slice region sequences, first extract each individual plaque slice region that is not adjacent to other plaque slice regions as a corresponding first plaque region; then extract a plurality of plaque slice regions that are adjacent to each other and merge them into a corresponding first plaque region;

[0047] and traverse each of the first plaque regions; and during the traversal, take the currently traversed first plaque region as the corresponding current plaque region; and take the current segmented blood vessel corresponding to the current plaque region as the corresponding blood vessel segment information where the plaque is located; and take the position information of the center point of the current plaque region on the current coronary black blood imaging as the corresponding plaque position information; and form the corresponding plaque size information from the width and height of the current plaque region; and take the maximum value of one or more slice plaque load values ​​corresponding to the current plaque region as the corresponding plaque load information; and take the maximum value of one or more slice SNR values ​​corresponding to the current plaque region as the corresponding plaque SNR information; and take the maximum value of one or more slice CNR values ​​corresponding to the current plaque region as the corresponding plaque CNR information; and form a corresponding first plaque identification information from the blood vessel segment information where the plaque is located, the plaque position information, the plaque size information, the plaque load information, the plaque SNR information and the plaque CNR information corresponding to the current plaque region;

[0048] After the traversal is completed, all the first plaque identification information obtained constitutes the corresponding first coronary plaque identification result.

[0049] A second aspect of the embodiments of the present invention provides a device for implementing the processing method for identifying coronary artery stenosis characteristics based on coronary magnetic resonance angiography as described in the first aspect, the device comprising: a data receiving module, a coronary artery stenosis screening module, an identification report processing module and a report output module;

[0050] The data receiving module is used to receive the personal information of the subject as the corresponding first personal information;

[0051] The coronary stenosis screening module is used to perform a respiratory navigation-gated 3D sBTFE sequence coronary artery magnetic resonance angiography on the subject to obtain corresponding left and right coronary bright blood imaging; and to perform imaging quality assessment on the left and right coronary bright blood imaging obtained this time to obtain a corresponding first assessment result; and when the first assessment result is unqualified, continue to perform a respiratory navigation-gated 3D sBTFE sequence coronary artery magnetic resonance angiography on the subject until the first assessment result corresponding to the latest left and right coronary bright blood imaging is qualified; and when the first assessment result is qualified, perform coronary stenosis trend screening based on the latest left and right coronary bright blood imaging and the first personal information to obtain a corresponding first screening result; the first assessment result includes qualified and unqualified; the first screening result includes stenosis and non-stenosis;

[0052] The identification report processing module is used for, when the first screening result is no stenosis, forming a corresponding coronary stenosis characteristic report based on the first personal information, the latest left and right coronary artery bright blood imaging and the first screening result;

[0053] The identification report processing module is also used for, when the first screening result is stenosis, performing a respiratory navigation gated DIR FSE sequence coronary artery magnetic resonance angiography on the subject to obtain corresponding left and right coronary black blood imaging; and performing imaging quality assessment on the left and right coronary black blood imaging obtained this time to obtain a corresponding second assessment result; and when the second assessment result is unqualified, continuing to perform a respiratory navigation gated DIR FSE sequence coronary artery magnetic resonance angiography on the subject until the second assessment result corresponding to the latest left and right coronary black blood imaging is qualified; and when the second assessment result is qualified, performing coronary plaque feature recognition based on the latest left and right coronary black blood imaging to obtain a corresponding first coronary plaque recognition result; and forming the corresponding coronary stenosis feature report by the first personal information, the latest left and right coronary bright blood imaging, the latest left and right coronary black blood imaging, the first screening result and the first coronary plaque recognition result; the second assessment result includes qualified and unqualified;

[0054] The report output module is used to output the coronary artery stenosis feature report as the corresponding coronary artery stenosis feature identification result.

[0055] A third aspect of an embodiment of the present invention provides an electronic device, including: a memory, a processor, and a transceiver;

[0056] The processor is used to be coupled to the memory, read and execute instructions in the memory, so as to implement the method steps described in the first aspect above;

[0057] The transceiver is coupled to the processor, and the processor controls the transceiver to send and receive messages.

[0058] A fourth aspect of an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions. When the computer instructions are executed by a computer, the computer executes the instructions of the method described in the first aspect above.

[0059] The embodiment of the present invention provides a processing method, device, electronic device and computer-readable storage medium for identifying coronary stenosis characteristics based on coronary magnetic resonance angiography. As can be seen from the above content, the embodiment of the present invention first performs a respiratory navigation-gated 3D sBTFE sequence coronary magnetic resonance angiography on the subject to obtain the corresponding left and right coronary bright blood imaging, and performs an imaging quality assessment on the bright blood imaging obtained this time; and if the current assessment is unqualified, the bright blood angiography imaging is redone until the assessment is qualified, and if the assessment is qualified, the coronary stenosis trend screening is performed based on the latest left and right coronary bright blood imaging and the subject's personal information; if the screening result confirms that there is no stenosis, the corresponding coronary stenosis feature report is composed of the subject's personal information + the latest left and right coronary bright blood imaging + stenosis trend screening results and is output; if the screening result confirms that there is a stenosis, the subject is subjected to a respiratory navigation-gated DIR The FSE sequence coronary artery magnetic resonance angiography obtains the corresponding left and right coronary black blood imaging, and performs an imaging quality assessment on the black blood imaging obtained this time, and redoes the black blood angiography imaging when the assessment is unqualified until the assessment is qualified, and performs coronary artery plaque feature recognition based on the latest left and right coronary black blood imaging when the assessment is qualified, and the corresponding coronary artery stenosis feature report is composed of the subject's personal information + the latest left and right coronary bright blood imaging + the latest left and right coronary black blood imaging + stenosis trend screening results + coronary plaque recognition results and outputs. The embodiment of the present invention can, on the one hand, avoid the breath-holding operation during the MRA scanning process, thereby improving the inspection efficiency; on the other hand, the recognition quality is improved by introducing the black blood imaging technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 A schematic diagram of a processing method for identifying coronary artery stenosis characteristics based on coronary magnetic resonance angiography provided in Embodiment 1 of the present invention;

[0061] Figure 2 A module structure diagram of a processing device for identifying coronary artery stenosis characteristics based on coronary magnetic resonance angiography provided in Embodiment 2 of the present invention;

[0062] Figure 3 A schematic diagram of the structure of an electronic device provided in Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0063] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0064] Embodiment 1 of the present invention provides a processing method for identifying coronary artery stenosis characteristics based on coronary magnetic resonance angiography, such as Figure 1 As shown in the schematic diagram of a processing method for identifying coronary artery stenosis characteristics based on coronary magnetic resonance angiography provided in the first embodiment of the present invention, the method mainly includes the following steps:

[0065] Step 1: Receive the personal information of the subject as the corresponding first personal information.

[0066] Here, the first personal information should at least include the subject's name, gender, age, and place of origin.

[0067] Step 2, performing a respiratory navigation-gated 3D sBTFE sequence coronary artery magnetic resonance angiography on the subject to obtain corresponding left and right coronary bright blood imaging; and performing an imaging quality assessment on the left and right coronary bright blood imaging obtained this time to obtain a corresponding first assessment result; and if the first assessment result is unqualified, continuing to perform a respiratory navigation-gated 3D sBTFE sequence coronary artery magnetic resonance angiography on the subject until the first assessment result corresponding to the latest left and right coronary bright blood imaging is qualified; and if the first assessment result is qualified, performing a coronary artery stenosis trend screening based on the latest left and right coronary bright blood imaging and the first personal information to obtain a corresponding first screening result;

[0068] Specifically comprising: step 21, performing a respiratory navigation-gated 3D sBTFE sequence coronary artery magnetic resonance angiography on the subject to obtain corresponding left and right coronary artery bright blood imaging;

[0069] Specifically, the method includes: placing the subject in a supine position, and connecting the VCG and respiratory gating device to the subject; using a designated magnetic resonance imaging device to scan the left and right coronary arteries of the subject based on a respiratory navigation echo-triggered coronary artery magnetic resonance angiography scanning method, and using the obtained scanned images as corresponding left and right coronary bright blood imaging; wherein, during the scanning, a 3D sBTFE sequence is used as the scanning imaging sequence, and the fat signal obtained during the scanning process is suppressed based on the magnetic resonance fat suppression technology, and the myocardial tissue signal obtained during the scanning process and the accompanying vein signal near the coronary artery are suppressed based on the T2 pre-pulse; the magnetic resonance fat suppression technology includes SPAIR technology and SPIR technology;

[0070] Here, the operation steps of performing coronary artery magnetic resonance scanning on the subject are similar to the operation steps of the conventional MRA scanning process, which consists of the following steps:

[0071] 1) Connect the external monitoring equipment and make the subject lie in the supine position, and place the corresponding SENSE cardiac array coil; here, the external monitoring equipment includes a VCG monitoring device related to vectorcardiogram (VCG) monitoring and a respiratory gating device related to respiratory monitoring;

[0072] 2) Scanning positioning map: from this, the left heart two-chamber section, the heart four-chamber section, the four-chamber-like section, etc. used for scanning plane positioning can be obtained; and the starting point and end point of the subject's coronary artery in the relative rest period can be confirmed; and some parameters required for subsequent scanning can be calculated through positioning map scanning and ECG monitoring, such as ECG trigger acquisition delay parameter TD, ECG interval RR percentage, and sequence factor of bright blood technology imaging sequence; here, the embodiment of the present invention uses a three-dimensional ultra-fast balanced gradient echo (3D sBTFE) sequence as the acquired imaging sequence when imaging based on bright blood technology, so the sequence factor of the above-mentioned bright blood technology imaging sequence is the factor of the 3D sBTFE sequence;

[0073] 3) Configure a series of scanning parameters:

[0074] a. Configuration related to positioning: Use the three-point positioning (3PPS) method to determine the running direction of each main trunk of the coronary artery;

[0075] b. Configuration related to bright blood imaging technology: select 3D sBTFE sequence as the acquired imaging sequence, select magnetic resonance fat suppression technology (SPAIR technology or SPIR technology) to suppress the fat signal obtained during the scanning process, and select T2 pre-pulse (T2-prep pulse) to suppress the myocardial tissue signal and the accompanying vein signal near the coronary artery obtained during the scanning process;

[0076] c. Configuration related to respiratory navigation: set the navigation and scanning parameters of the free breathing mode and the corresponding respiratory navigation echo options, set the diaphragm movement monitoring window related to respiratory monitoring, and confirm that the Phase Ordering with Automatic Windowing Selection (PAWS) technology is used for K-space data sampling when the respiratory navigation echo triggers sampling;

[0077] d. Configuration of conventional scanning parameters: configure other conventional scanning parameters, such as TD, TR, TE, flip angle, 3D sBTFE sequence factor, FOV, number of layers, layer thickness, SENSE factor, etc.;

[0078] 4) Scanning the left and right coronary arteries of the subject once based on the configured scanning scheme to obtain corresponding left and right coronary artery imaging, which is also called left and right coronary artery bright blood imaging because it is based on bright blood technology using 3DsBTFE sequence;

[0079] Step 22, performing imaging quality assessment on the left and right coronary artery bright blood imaging obtained this time to obtain a corresponding first assessment result;

[0080] The first evaluation results include qualified and unqualified;

[0081] Specifically, the method comprises: step 221, performing imaging quality evaluation on left and right coronary bright blood imaging respectively based on a preset five-level image quality evaluation rule to obtain corresponding first and second quality levels;

[0082] Among them, the first and second quality levels include grades one, two, three, four, and five, and the higher the grade, the better the quality;

[0083] Here, the five-level image quality evaluation rule is a preset evaluation rule; such as: 1) Level 1: coronary arteries are not displayed; 2) Level 2: coronary arteries are displayed, but blurred and with severe disturbance; 3) Level 3: coronary arteries are displayed, but the edge definition is insufficient and the contrast between blood vessels and adjacent tissues is poor; 4) Level 4: coronary arteries are displayed, with good edge definition, good contrast between blood vessels and adjacent tissues, and slight disturbance; 5) coronary arteries are displayed, with excellent edge definition, excellent contrast between blood vessels and adjacent tissues, and no disturbance;

[0084] The embodiment of the present invention can evaluate the imaging quality of the left and right coronary bright blood imaging respectively based on the five-level image quality evaluation rule manually, or can use image software or artificial intelligence model to evaluate the imaging quality of the left and right coronary bright blood imaging respectively based on the five-level image quality evaluation rule;

[0085] Step 222, respectively calculating the signal-to-noise ratio (SNR) parameters in the coronary artery in the left and right coronary bright blood imaging to obtain the corresponding first and second SNR values; and respectively calculating the contrast-to-noise ratio (CNR) parameters between the coronary artery and the adjacent heart tissue in the left and right coronary bright blood imaging to obtain the corresponding first and second CNR values;

[0086] Here, the calculation methods of the signal-to-noise ratio (SNR) parameter and the contrast-to-noise ratio (CNR) parameter in MRA imaging are all public technical methods, and will not be repeated here;

[0087] Step 223, when both the first and second quality levels exceed the preset first quality level threshold, and both the first and second SNR values ​​exceed the preset first SNR threshold, and both the first and second CNR values ​​exceed the preset first CNR threshold, setting the corresponding first evaluation result as qualified;

[0088] Here, the first quality level threshold is a preset quality level information, and level 4 or level 5 is selected by default; the first SNR threshold and the first CNR threshold are two preset signal-to-noise ratio and contrast-to-noise ratio parameters, which can be set according to actual application requirements;

[0089] Step 224: When both the first and second quality levels fail to exceed the first quality level threshold, or both the first and second SNR values ​​fail to exceed the first SNR threshold, or both the first and second CNR values ​​fail to exceed the first CNR threshold, setting the corresponding first evaluation result as unqualified;

[0090] Step 23, if the first evaluation result is unqualified, continue to perform respiratory navigation-gated 3DsBTFE sequence coronary artery magnetic resonance angiography on the subject until the first evaluation result corresponding to the latest left and right coronary bright blood imaging is qualified;

[0091] Step 24, when the first evaluation result is qualified, coronary artery stenosis trend screening is performed according to the latest left and right coronary artery bright blood imaging and the first personal information to obtain a corresponding first screening result;

[0092] Among them, the first screening results include stenosis and no stenosis;

[0093] Specifically, it includes: step 241, performing LM segment, LAD segment and LCX segment blood vessel inner wall edge recognition on the left coronary bright blood imaging to obtain the corresponding first, second and third segment blood vessel edges; and performing corresponding LM segment, LAD segment and LCX segment blood vessel lumen centerline recognition on the left coronary bright blood imaging based on the first, second and third segment blood vessel edges to obtain the corresponding first, second and third segment centerlines;

[0094] Here, the embodiment of the present invention can achieve the recognition effect of the inner wall edge of the blood vessel by marking the inner wall edge of the LM segment, LAD segment and LCX segment of the left coronary artery bright blood imaging through manual marking, and can also recognize the inner wall edge of the blood vessel of the LM segment, LAD segment and LCX segment of the left coronary artery bright blood imaging through automatic marking by image software and image segmentation model; and recognizing the centerline of the blood vessel according to the blood flow direction for a known continuous blood vessel section is also a common public technical solution, which will not be further explained here;

[0095] Step 242, the inner wall edge of the RCA segment of the right coronary artery bright blood imaging is identified to obtain the corresponding fourth segment of the blood vessel edge; and based on the fourth segment of the blood vessel edge, the corresponding RCA segment of the blood vessel cavity centerline is identified on the right coronary artery bright blood imaging to obtain the corresponding fourth segment centerline;

[0096] Step 243, performing stenosis trend screening based on the first, second, third and fourth segments of blood vessel edges and the corresponding first, second, third and fourth segments of center lines and the first personal information to obtain a corresponding first screening result;

[0097] Specifically, it includes: step 2431, taking the LM segment, LAD segment, LCX segment or RCA segment blood vessel corresponding to the edge of the first, second, third or fourth segment blood vessel as the corresponding current segment blood vessel; taking the edge of the first, second, third or fourth segment blood vessel as the corresponding current segment blood vessel edge; taking the corresponding first, second, third or fourth segment centerline as the corresponding current segment blood vessel centerline;

[0098] Among them, the current segmented blood vessels include LM segment, LAD segment, LCX segment and RCA segment blood vessels;

[0099] Step 2432, extracting four types of blood vessel diameter ranges corresponding to the first personal information from a preset healthy population cardiovascular statistical information table;

[0100] Specifically, the corresponding gender, age and place of origin are extracted from the first personal information as the corresponding first gender parameter, first age parameter and first region parameter; and the LM segment, LAD segment, LCX segment and RCA segment blood vessel diameter range statistical information of the first cardiovascular statistical information field of the first statistical record in which the first region field matches the first region parameter, the first age field matches the first age parameter, and the first gender field matches the first gender parameter in the cardiovascular statistical information table of healthy people are extracted as the corresponding LM segment, LAD segment, LCX segment and RCA segment blood vessel diameter ranges to form the corresponding four types of blood vessel diameter ranges;

[0101] The cardiovascular statistical information table for healthy people includes a plurality of first statistical records; the first statistical record includes a first region field, a first age field, a first gender field and a first cardiovascular statistical information field; the first cardiovascular statistical information field includes statistical information on the blood vessel diameter ranges of the LM segment, the LAD segment, the LCX segment and the RCA segment; the four types of blood vessel diameter ranges include the blood vessel diameter ranges of the LM segment, the LAD segment, the LCX segment and the RCA segment;

[0102] Step 2433, and taking the blood vessel diameter range corresponding to the current segmented blood vessel in the four types of blood vessel diameter ranges as the corresponding current blood vessel diameter range;

[0103] Step 2434, and using the stenosis threshold value corresponding to the current segmented blood vessel among the four preset stenosis threshold values ​​as the corresponding current stenosis threshold value;

[0104] Among them, the four types of stenosis thresholds include LM segment, LAD segment, LCX segment, and RCA segment stenosis thresholds;

[0105] Step 2435, calculating the average diameter and stenosis of the current segmented blood vessel according to the center line of the current segmented blood vessel and the edge of the current segmented blood vessel to obtain a corresponding first average diameter and first stenosis;

[0106] Specifically, sampling is performed at a preset sampling interval from the starting position of the centerline of the current segmented blood vessel to obtain a plurality of centerline sampling points; a tangent line of the centerline of the current segmented blood vessel is made at each centerline sampling point and recorded as the corresponding sampling point tangent line; a perpendicular line of the tangent line of the current sampling point is made at each centerline sampling point and recorded as the corresponding sampling point perpendicular line; the length of the straight line segment between the two points where the perpendicular line of each sampling point intersects with the edge of the current segmented blood vessel is taken as the corresponding sampling point diameter; the maximum and minimum values ​​are extracted from all sampling point diameters as the corresponding maximum and minimum diameters; the mean of all sampling point diameters is calculated to obtain the corresponding first average diameter; and the ratio of the absolute difference between the maximum and minimum diameters to the maximum diameter is taken as the corresponding first stenosis degree;

[0107] The greater the first stenosis, the narrower the corresponding blood vessel position, and the smaller the first stenosis, the wider the corresponding blood vessel position;

[0108] Step 2436, performing stenosis trend screening on the current segmented blood vessel according to the corresponding first average vessel diameter and the first stenosis degree to obtain a corresponding segmented blood vessel screening result;

[0109] Specifically, whether the first average diameter meets the current diameter range is identified; if the first average diameter meets the current diameter range, whether the first stenosis exceeds the current stenosis threshold is identified, if it exceeds, the corresponding segmented blood vessel screening result is set as stenosis, if not, the corresponding segmented blood vessel screening result is set as non-stenosis; if the first average diameter does not meet the current diameter range, the corresponding segmented blood vessel screening result is set as stenosis;

[0110] Among them, the segmented vascular screening results include stenosis and no stenosis;

[0111] Step 2437, and identify whether the screening results of the four segmented blood vessels corresponding to the LM segment, LAD segment, LCX segment and RCA segment are all not stenotic; if so, set the corresponding first screening result as not stenotic; if not, set the corresponding first screening result as stenotic.

[0112] Step 3, when the first screening result is no stenosis, a corresponding coronary stenosis characteristic report is composed of the first personal information, the latest left and right coronary artery bright blood imaging and the first screening result.

[0113] Step 4, when the first screening result is stenosis, the subject is subjected to a respiratory navigation-gated DIR FSE sequence coronary artery magnetic resonance angiography to obtain corresponding left and right coronary artery black blood imaging; and the imaging quality of the left and right coronary artery black blood imaging obtained this time is evaluated to obtain the corresponding second evaluation result; and when the second evaluation result is unqualified, the subject is continuously subjected to a respiratory navigation-gated DIR FSE sequence coronary artery magnetic resonance angiography until the second evaluation result corresponding to the latest left and right coronary artery black blood imaging is qualified; and when the second evaluation result is qualified, coronary artery plaque feature recognition is performed based on the latest left and right coronary artery black blood imaging to obtain the corresponding first coronary artery plaque recognition result; and the first personal information, the latest left and right coronary artery bright blood imaging, the latest left and right coronary artery black blood imaging, the first screening result and the first coronary artery plaque recognition result form a corresponding coronary artery stenosis feature report;

[0114] Specifically, it includes: step 41, when the first screening result is stenosis, performing a respiratory navigation-gated DIR FSE sequence coronary artery magnetic resonance angiography on the subject to obtain corresponding left and right coronary artery black blood imaging;

[0115] Specifically, the method includes: placing the subject in a supine position and connecting the VCG and respiratory gating device to the subject; using a designated magnetic resonance imaging device to scan the left and right coronary arteries of the subject once respectively based on a respiratory navigation echo-triggered coronary artery magnetic resonance angiography scanning method, and using the obtained scan images as corresponding left and right coronary artery black blood imaging; and using a DIR FSE sequence as a scanning imaging sequence during scanning;

[0116] Here, the operation steps of performing coronary artery magnetic resonance scanning on the subject are similar to the operation steps of the conventional MRA scanning process, which consists of the following steps:

[0117] 1) Connect the external monitoring device and make the subject lie in the supine position, and place the corresponding SENSE cardiac array coil; here, the external monitoring device includes a VCG monitoring device and a respiratory gating device;

[0118] 2) Scanning positioning map: from this, the left heart two-chamber section, the heart four-chamber section, the four-chamber-like section, etc. used for scanning plane positioning can be obtained; and the starting point and end point of the subject's coronary artery in the relative rest period can be confirmed; and some parameters required for subsequent scanning can be calculated through positioning map scanning and ECG monitoring, such as ECG trigger acquisition delay parameter TD, ECG interval RR percentage, and sequence factor of bright blood technology imaging sequence; here, the embodiment of the present invention uses the double inversion recovery fast spin echo (DIR FSE) sequence as the imaging sequence for acquisition when imaging based on black blood technology, so the sequence factor of the above-mentioned bright blood technology imaging sequence is the factor of the DIR FSE sequence;

[0119] 3) Configure a series of scanning parameters:

[0120] a. Configuration related to positioning: Use the three-point positioning method to determine the running direction of each main trunk of the coronary artery;

[0121] b. Configuration related to black blood imaging technology: select DIR FSE sequence as the acquired imaging sequence;

[0122] c. Configuration related to respiratory navigation: set the navigation and scanning parameters of the free breathing mode and the corresponding respiratory navigation echo option, set the diaphragm movement monitoring window related to respiratory monitoring, and confirm that PAWS technology is used for K-space data sampling when the respiratory navigation echo triggers sampling;

[0123] d. Configuration of conventional scanning parameters: configure other conventional scanning parameters, such as TD, TR, TE, flip angle, DIR FSE sequence factor, FOV, number of layers, layer thickness, SENSE factor, etc.;

[0124] 4) Scanning the left and right coronary arteries of the subject once based on the configured scanning scheme to obtain corresponding left and right coronary artery imaging, which is also called left and right coronary artery black blood imaging because it is based on the black blood technology and uses the DIR FSE sequence;

[0125] Step 42, performing imaging quality assessment on the left and right coronary artery black blood imaging obtained this time to obtain a corresponding second assessment result;

[0126] The second evaluation results include qualified and unqualified;

[0127] Specifically, it includes: step 421, based on the five-level image quality evaluation rule, the imaging quality of left and right coronary black blood imaging is evaluated to obtain the corresponding third and fourth quality levels;

[0128] Among them, the third and fourth quality levels include grades one, two, three, four, and five, and the higher the grade, the better the quality;

[0129] Here, the definition and reference evaluation method of the five-level image quality evaluation rule in the current step 421 are consistent with the five-level image quality evaluation rule in the previous step 221;

[0130] Step 422, respectively calculating the signal-to-noise ratio (SNR) parameters in the coronary artery in the left and right coronary black blood imaging to obtain corresponding third and fourth SNR values; and respectively calculating the contrast-to-noise ratio (CNR) parameters between the coronary artery and the adjacent heart tissue in the left and right coronary black blood imaging to obtain corresponding third and fourth CNR values;

[0131] Step 423: When both the third and fourth quality levels exceed the preset second quality level threshold, and both the third and fourth SNR values ​​exceed the preset second SNR threshold, and both the third and fourth CNR values ​​exceed the preset second CNR threshold, setting the corresponding second evaluation result as qualified;

[0132] Here, the second quality level threshold of the current step 423 is a preset quality level information, and level 4 or level 5 is selected by default; the second SNR threshold and the second CNR threshold are two preset signal-to-noise ratio and contrast-to-noise ratio parameters, which can be set according to actual application requirements;

[0133] Step 424: When the third and fourth quality levels fail to both exceed the second quality level threshold, or the third and fourth SNR values ​​fail to both exceed the second SNR threshold, or the third and fourth CNR values ​​fail to both exceed the second CNR threshold, setting the corresponding second evaluation result as unqualified;

[0134] Step 43, if the second evaluation result is unqualified, continue to perform respiratory navigation gated DIR FSE sequence coronary artery magnetic resonance angiography on the subject until the second evaluation result corresponding to the latest left and right coronary artery black blood imaging is qualified;

[0135] Step 44, when the second evaluation result is qualified, coronary artery plaque feature recognition is performed based on the latest left and right coronary artery black blood imaging to obtain a corresponding first coronary artery plaque recognition result;

[0136] Specifically, it includes: step 441, performing LM segment, LAD segment and LCX segment blood vessel inner wall edge recognition on the left coronary artery black blood imaging to obtain the corresponding fifth, sixth and seventh blood vessel edges;

[0137] Step 442, performing RCA segment blood vessel inner wall edge recognition on the right coronary artery black blood imaging to obtain the corresponding eighth segment blood vessel edge;

[0138] Step 443, performing plaque recognition processing based on the fifth, sixth, seventh and eighth blood vessel edges to obtain a corresponding first coronary artery plaque recognition result;

[0139] The first coronary plaque identification result includes one or more first plaque identification information; the first plaque identification information includes the vessel segment information where the plaque is located, the plaque location information, the plaque size information, the plaque load information, the plaque SNR information and the plaque CNR information; the vessel segment information where the plaque is located includes the LM segment, the LAD segment, the LCX segment and the RCA segment blood vessels;

[0140] Specifically, the method comprises: step 4431, taking the LM segment, LAD segment, LCX segment or RCA segment blood vessel corresponding to the edge of the fifth, sixth, seventh or eighth segment blood vessel as the corresponding current segmented blood vessel; taking the left coronary artery black blood image or the right coronary artery black blood image corresponding to the current segmented blood vessel as the corresponding current coronary artery black blood image; taking the edge of the fifth, sixth, seventh or eighth segment blood vessel as the corresponding current segmented blood vessel edge; wherein the current segmented blood vessel comprises the LM segment, LAD segment, LCX segment and RCA segment blood vessel;

[0141] Step 4432, the left and right edges of the current segmented blood vessel edge are recorded as the corresponding left and right blood vessel edges; a strip-shaped imaging region with a width of a preset first width extending from the left blood vessel edge to the outside of the blood vessel on the current coronary black blood imaging is recorded as the corresponding left strip region; and a strip-shaped imaging region with a width of the first width extending from the right blood vessel edge to the outside of the blood vessel on the current coronary black blood imaging is recorded as the corresponding right strip region;

[0142] Step 4433, sequentially slicing the left and right stripe regions according to a preset slicing rule to obtain corresponding left and right stripe slicing region sequences; wherein the left and right stripe slicing region sequences are both formed by sequentially arranging a plurality of stripe slicing regions;

[0143] Here, the preset slicing rule is a preset area rule, and by default, the specified strip area is sequentially sliced ​​according to a preset slicing width from the starting position to the ending position of the specified strip area;

[0144] Step 4434, the plaque load parameter and signal-to-noise ratio (SNR) parameter of each strip slice area are calculated to obtain the corresponding slice plaque load value and slice SNR value; the contrast-to-noise ratio (CNR) parameter of each strip slice area and the adjacent cardiac tissue is calculated to obtain the corresponding slice CNR value; and the strip slice area whose slice plaque load value is higher than a preset plaque load threshold, whose slice SNR value is higher than a preset plaque SNR value threshold, and whose slice CNR value is higher than a preset plaque CNR value threshold is recorded as the corresponding plaque slice area;

[0145] Here, the calculation method of the plaque load parameter in MRA imaging is a public technical method, and no repetitive description is given here; the plaque load threshold, plaque SNR value threshold, and plaque CNR value threshold are three pre-set threshold parameters, which can be configured based on actual applications;

[0146] Step 4435: In the left and right strip slice region sequences, first extract each individual plaque slice region that is not adjacent to other plaque slice regions as a corresponding first plaque region; then extract multiple plaque slice regions that are adjacent to each other and merge them into a corresponding first plaque region;

[0147] Step 4436, and traverse each first plaque area; and during the traversal, take the currently traversed first plaque area as the corresponding current plaque area; and take the current segmented blood vessel corresponding to the current plaque area as the corresponding blood vessel segment information where the plaque is located; and take the position information of the center point of the current plaque area on the current coronary black blood imaging as the corresponding plaque position information; and the width and height of the current plaque area form the corresponding plaque size information; and take the maximum value of one or more slice plaque load values ​​corresponding to the current plaque area as the corresponding plaque load information; and take the maximum value of one or more slice SNR values ​​corresponding to the current plaque area as the corresponding plaque SNR information; and take the maximum value of one or more slice CNR values ​​corresponding to the current plaque area as the corresponding plaque CNR information; and the blood vessel segment information where the plaque is located, the plaque position information, the plaque size information, the plaque load information, the plaque SNR information and the plaque CNR information corresponding to the current plaque area form a corresponding first plaque identification information;

[0148] Step 4437, after the traversal is completed, all the first plaque identification information obtained form a corresponding first coronary plaque identification result;

[0149] Step 45, a corresponding coronary stenosis characteristic report is composed of the first personal information, the latest left and right coronary artery bright blood imaging, the latest left and right coronary artery dark blood imaging, the first screening result and the first coronary plaque recognition result.

[0150] Step 5: output the coronary artery stenosis feature report as the corresponding coronary artery stenosis feature recognition result.

[0151] Figure 2 The module structure diagram of a processing device for identifying coronary stenosis characteristics based on coronary magnetic resonance angiography provided in the second embodiment of the present invention is a terminal device or server that implements the aforementioned method embodiment, and can also be a device that enables the aforementioned terminal device or server to implement the aforementioned method embodiment. For example, the device can be a device or chip system of the aforementioned terminal device or server. Figure 2As shown, the device includes: a data receiving module 201, a coronary artery stenosis screening module 202, an identification report processing module 203 and a report output module 204.

[0152] The data receiving module 201 is used to receive the personal information of the subject as the corresponding first personal information.

[0153] The coronary stenosis screening module 202 is used to perform a respiratory navigation-gated 3DsBTFE sequence coronary artery magnetic resonance angiography on the subject to obtain corresponding left and right coronary bright blood imaging; and to perform imaging quality assessment on the left and right coronary bright blood imaging obtained this time to obtain a corresponding first assessment result; and if the first assessment result is unqualified, continue to perform a respiratory navigation-gated 3DsBTFE sequence coronary artery magnetic resonance angiography on the subject until the first assessment result corresponding to the latest left and right coronary bright blood imaging is qualified; and if the first assessment result is qualified, perform coronary artery stenosis trend screening based on the latest left and right coronary bright blood imaging and the first personal information to obtain a corresponding first screening result; the first assessment result includes qualified and unqualified; the first screening result includes stenosis and non-stenosis.

[0154] The identification report processing module 203 is used to compose a corresponding coronary stenosis characteristic report based on the first personal information, the latest left and right coronary artery bright blood imaging and the first screening result when the first screening result is no stenosis.

[0155] The identification report processing module 203 is also used for, when the first screening result is stenosis, performing a respiratory navigation gated DIR FSE sequence coronary artery magnetic resonance angiography on the subject to obtain corresponding left and right coronary black blood imaging; and performing imaging quality assessment on the left and right coronary black blood imaging obtained this time to obtain a corresponding second assessment result; and when the second assessment result is unqualified, continuing to perform a respiratory navigation gated DIR FSE sequence coronary artery magnetic resonance angiography on the subject until the second assessment result corresponding to the latest left and right coronary black blood imaging is qualified; and when the second assessment result is qualified, performing coronary plaque feature identification based on the latest left and right coronary black blood imaging to obtain a corresponding first coronary plaque identification result; and forming a corresponding coronary stenosis feature report by the first personal information, the latest left and right coronary bright blood imaging, the latest left and right coronary black blood imaging, the first screening result and the first coronary plaque identification result; the second assessment result includes qualified and unqualified.

[0156] The report output module 204 is used to output the coronary artery stenosis feature report as the corresponding coronary artery stenosis feature identification result.

[0157] An embodiment of the present invention provides a processing device for identifying coronary stenosis characteristics based on coronary magnetic resonance angiography, which can execute the method steps in the above method embodiment. Its implementation principle and technical effects are similar and will not be repeated here.

[0158] It should be noted that it should be understood that the division of the various modules of the above device is only a division of logical functions. In actual implementation, they can be fully or partially integrated into one physical entity, or they can be physically separated. And these modules can all be implemented in the form of software called by processing elements; they can also be all implemented in the form of hardware; some modules can also be implemented in the form of software called by processing elements, and some modules can be implemented in the form of hardware. For example, the data receiving module can be a separately established processing element, or it can be integrated in a chip of the above device. In addition, it can also be stored in the memory of the above device in the form of program code, and called and executed by a processing element of the above device. The function of the above-mentioned module is determined. The implementation of other modules is similar. In addition, these modules can be fully or partially integrated together, or they can be implemented independently. The processing element described here can be an integrated circuit with signal processing capabilities. In the implementation process, each step of the above method or each module above can be completed by an integrated logic circuit of hardware in the processor element or instructions in the form of software.

[0159] For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as one or more application specific integrated circuits (ASIC), or one or more digital signal processors (DSP), or one or more field programmable gate arrays (FPGA). For another example, when a module above is implemented in the form of a processing element scheduling program code, the processing element may be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call program code. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0160] In the above embodiments, all or part of the embodiments may be implemented by software, hardware, firmware or any combination thereof. When implemented by software, all or part of the embodiments may be implemented in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the above method embodiments are generated. The above computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The above-mentioned computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the above-mentioned computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center through wired (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, Bluetooth, microwave, etc.) methods. The above-mentioned computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media integrated. The above-mentioned available medium can be a magnetic medium (such as a floppy disk, a hard disk, a tape), an optical medium (such as a DVD), or a semiconductor medium (such as a solid state disk (SSD)), etc.

[0161] Figure 3 This is a schematic diagram of the structure of an electronic device provided in Embodiment 3 of the present invention. The electronic device may be a terminal device or a server for implementing the method of the aforementioned embodiment, or may be a terminal device or a server for implementing the method of the aforementioned embodiment connected to the aforementioned terminal device or server. Figure 3 As shown, the electronic device may include: a processor 301 (such as a CPU), a memory 302, and a transceiver 303; the transceiver 303 is coupled to the processor 301, and the processor 301 controls the transceiver 303. Various instructions may be stored in the memory 302 to complete various processing functions and implement the processing steps described in the aforementioned embodiment method. Preferably, the electronic device involved in the embodiment of the present invention also includes: a power supply 304, a system bus 305 and a communication port 306. The system bus 305 is used to realize the communication connection between components. The above-mentioned communication port 306 is used for connecting and communicating between the electronic device and other peripherals.

[0162] exist Figure 3The system bus 305 mentioned in the figure can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The system bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus. The communication interface is used to realize the communication between the database access device and other devices (such as clients, read-write libraries, and read-only libraries). The memory may include random access memory (RAM), and may also include non-volatile memory (Non-Volatile Memory), such as at least one disk storage.

[0163] The above-mentioned processor can be a general-purpose processor, including a central processing unit CPU, a network processor (Network Processor, NP), a graphics processing unit (Graphics Processing Unit, GPU), etc.; it can also be a digital signal processor DSP, an application-specific integrated circuit ASIC, a field programmable gate array FPGA or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0164] It should be noted that an embodiment of the present invention further provides a computer-readable storage medium, in which instructions are stored. When the computer-readable storage medium is run on a computer, the computer executes the method and processing process provided in the above embodiments.

[0165] An embodiment of the present invention further provides a chip for executing instructions, wherein the chip is used to execute the processing steps described in the aforementioned method embodiment.

[0166] The embodiment of the present invention provides a processing method, device, electronic device and computer-readable storage medium for identifying coronary stenosis characteristics based on coronary magnetic resonance angiography. As can be seen from the above content, the embodiment of the present invention first performs a respiratory navigation-gated 3D sBTFE sequence coronary magnetic resonance angiography on the subject to obtain the corresponding left and right coronary bright blood imaging, and performs an imaging quality assessment on the bright blood imaging obtained this time; and if the current assessment is unqualified, the bright blood angiography imaging is redone until the assessment is qualified, and if the assessment is qualified, the coronary stenosis trend screening is performed based on the latest left and right coronary bright blood imaging and the subject's personal information; if the screening result confirms that there is no stenosis, the corresponding coronary stenosis feature report is composed of the subject's personal information + the latest left and right coronary bright blood imaging + stenosis trend screening results and is output; if the screening result confirms that there is a stenosis, the subject is subjected to a respiratory navigation-gated DIR The FSE sequence coronary artery magnetic resonance angiography obtains the corresponding left and right coronary black blood imaging, and performs an imaging quality assessment on the black blood imaging obtained this time, and redoes the black blood angiography imaging when the assessment is unqualified until the assessment is qualified, and performs coronary artery plaque feature recognition based on the latest left and right coronary black blood imaging when the assessment is qualified, and the corresponding coronary artery stenosis feature report is composed of the subject's personal information + the latest left and right coronary bright blood imaging + the latest left and right coronary black blood imaging + stenosis trend screening results + coronary plaque recognition results and outputs. The embodiment of the present invention can, on the one hand, avoid the breath-holding operation during the MRA scanning process, thereby improving the inspection efficiency; on the other hand, the recognition quality is improved by introducing the black blood imaging technology.

[0167] The professionals should further realize that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to the function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0168] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0169] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A processing method for identifying coronary artery stenosis characteristics based on coronary magnetic resonance angiography, characterized in that: The method comprises: receiving the personal information of the subject as the corresponding first personal information; Performing a respiratory navigation-gated 3D sBTFE sequence coronary artery magnetic resonance angiography on the subject to obtain corresponding left and right coronary bright blood imaging; and performing imaging quality assessment on the left and right coronary bright blood imaging obtained this time to obtain a corresponding first assessment result; and when the first assessment result is unqualified, continuing to perform a respiratory navigation-gated 3D sBTFE sequence coronary artery magnetic resonance angiography on the subject until the first assessment result corresponding to the latest left and right coronary bright blood imaging is qualified; and when the first assessment result is qualified, performing coronary artery stenosis trend screening based on the latest left and right coronary bright blood imaging and the first personal information to obtain a corresponding first screening result; the first assessment result includes qualified and unqualified; the first screening result includes stenosis and non-stenosis; When the first screening result is no stenosis, a corresponding coronary stenosis characteristic report is composed of the first personal information, the latest left and right coronary artery bright blood imaging and the first screening result; When the first screening result is stenosis, the subject is subjected to a respiratory navigation-gated DIR FSE sequence coronary magnetic resonance angiography to obtain corresponding left and right coronary black blood images; and the imaging quality of the left and right coronary black blood images obtained this time is evaluated to obtain a corresponding second evaluation result; and when the second evaluation result is unqualified, the subject is continuously subjected to a respiratory navigation-gated DIR FSE sequence coronary magnetic resonance angiography until the second evaluation result corresponding to the latest left and right coronary black blood images is qualified; and when the second evaluation result is qualified, coronary plaque feature recognition is performed based on the latest left and right coronary black blood images to obtain a corresponding first coronary plaque recognition result; and the first personal information, the latest left and right coronary bright blood images, the latest left and right coronary black blood images, the first screening result and the first coronary plaque recognition result form a corresponding coronary stenosis feature report; the second evaluation result includes qualified and unqualified; Outputting the coronary artery stenosis feature report as a corresponding coronary artery stenosis feature recognition result; The coronary artery stenosis trend screening based on the latest left and right coronary artery bright blood imaging and the first personal information to obtain the corresponding first screening result specifically includes: Performing blood vessel inner wall edge recognition of the LM segment, LAD segment and LCX segment on the left coronary bright blood imaging to obtain the corresponding first, second and third blood vessel edge segments; and performing corresponding blood vessel lumen centerline recognition of the LM segment, LAD segment and LCX segment on the left coronary bright blood imaging based on the first, second and third blood vessel edge segments to obtain the corresponding first, second and third segment centerlines; and performing RCA segment vascular inner wall edge recognition on the right coronary bright blood imaging to obtain the corresponding fourth segment vascular edge; and performing RCA segment vascular lumen centerline recognition on the right coronary bright blood imaging based on the fourth segment vascular edge to obtain the corresponding fourth segment centerline; and performing stenosis trend screening based on the first, second, third and fourth segments of blood vessel edges and the corresponding first, second, third and fourth segments of center lines and the first personal information to obtain the corresponding first screening result; The step of performing stenosis trend screening based on the first, second, third and fourth segments of blood vessel edges and the corresponding first, second, third and fourth segments of center lines and the first personal information to obtain the corresponding first screening result specifically includes: The LM segment, LAD segment, LCX segment or RCA segment blood vessel corresponding to the edge of the first, second, third or fourth segment blood vessel is used as the corresponding current segment blood vessel; the edge of the first, second, third or fourth segment blood vessel is used as the corresponding current segment blood vessel edge; the corresponding centerline of the first, second, third or fourth segment is used as the corresponding current segment blood vessel centerline; the current segment blood vessel includes the LM segment, LAD segment, LCX segment and RCA segment blood vessels; Based on the first personal information, the corresponding four types of blood vessel diameter ranges are extracted from the preset healthy population cardiovascular statistical information table, specifically: the corresponding gender, age and place of origin are extracted from the first personal information as the corresponding first gender parameter, first age parameter and first region parameter; and the statistical information of the blood vessel diameter ranges of the LM segment, LAD segment, LCX segment and RCA segment of the first cardiovascular statistical information field of the first statistical record whose first region field matches the first region parameter, whose first age field matches the first age parameter and whose first gender field matches the first gender parameter in the healthy population cardiovascular statistical information table is extracted as the corresponding blood vessel diameter ranges of the LM segment, LAD segment, LCX segment and RCA segment to form the corresponding four types of blood vessel diameter ranges; wherein the healthy population cardiovascular statistical information table includes a plurality of the first statistical records; the first statistical record includes the first region field, the first age field, the first gender field and the first cardiovascular statistical information field; the first cardiovascular statistical information field includes the statistical information of the blood vessel diameter ranges of the LM segment, LAD segment, LCX segment and RCA segment; the four types of blood vessel diameter ranges include the blood vessel diameter ranges of the LM segment, LAD segment, LCX segment and RCA segment; and taking the blood vessel diameter range corresponding to the current segmented blood vessel in the four types of blood vessel diameter ranges as the corresponding current blood vessel diameter range; and taking the stenosis threshold corresponding to the current segmented blood vessel among the preset four types of stenosis thresholds as the corresponding current stenosis threshold; the four types of stenosis thresholds include LM segment, LAD segment, LCX segment and RCA segment stenosis thresholds; The average diameter and stenosis of the current segmented blood vessel are calculated according to the center line of the current segmented blood vessel and the edge of the current segmented blood vessel to obtain the corresponding first average diameter and first stenosis, specifically: starting from the starting position of the center line of the current segmented blood vessel, sampling is performed at a preset sampling interval to obtain a plurality of center line sampling points; and a tangent to the center line of the current segmented blood vessel is made at each center line sampling point and recorded as the corresponding sampling point tangent; and a perpendicular to the current sampling point tangent is made at each center line sampling point and recorded as the corresponding sampling point perpendicular; and the length of the straight line segment between the two points where the perpendicular to each sampling point intersects with the edge of the current segmented blood vessel is taken as the corresponding sampling point diameter; and the maximum and minimum values ​​are extracted from all the sampling point diameters as the corresponding maximum and minimum diameters; and the mean of all the sampling point diameters is calculated to obtain the corresponding first average diameter; and the ratio of the absolute difference between the maximum and minimum diameters to the maximum diameter is taken as the corresponding first stenosis; wherein, the larger the first stenosis, the narrower the corresponding blood vessel position, and the smaller the first stenosis, the wider the corresponding blood vessel position; And according to the corresponding first average diameter and the first stenosis, the current segmented blood vessel is screened for stenosis trend to obtain the corresponding segmented blood vessel screening result, specifically: whether the first average diameter meets the current diameter range is identified; if the first average diameter meets the current diameter range, whether the first stenosis exceeds the current stenosis threshold is identified, if it exceeds, the corresponding segmented blood vessel screening result is set as stenosis, if not, the corresponding segmented blood vessel screening result is set as non-stenosis; if the first average diameter does not meet the current diameter range, the corresponding segmented blood vessel screening result is set as stenosis; wherein the segmented blood vessel screening results include stenosis and non-stenosis; And it is identified whether the screening results of the four segmented blood vessels corresponding to the LM segment, LAD segment, LCX segment and RCA segment are all not stenotic; if so, the corresponding first screening result is set as not stenotic; if not, the corresponding first screening result is set as stenosis.

2. The method for identifying coronary artery stenosis characteristics based on coronary magnetic resonance angiography according to claim 1, characterized in that: The first personal information includes name, gender, age and place of origin.

3. The method for identifying coronary artery stenosis characteristics based on coronary magnetic resonance angiography according to claim 1, characterized in that: The subject is subjected to a respiratory navigation-gated 3DsBTFE sequence coronary artery magnetic resonance angiography to obtain corresponding left and right coronary bright blood imaging, specifically comprising: The subject is placed in a supine position, and a VCG and a respiratory gating device are connected to the subject; the left and right coronary arteries of the subject are scanned once respectively using a designated magnetic resonance imaging device based on a respiratory navigation echo-triggered coronary artery magnetic resonance angiography scanning method, and the obtained scan images are used as the corresponding left and right coronary bright blood images; and during the scanning, a 3D sBTFE sequence is used as the scanning imaging sequence, and the fat signal obtained during the scanning process is suppressed based on the magnetic resonance fat suppression technology, and the myocardial tissue signal obtained during the scanning process and the accompanying vein signal near the coronary artery are suppressed based on the T2 pre-pulse; the magnetic resonance fat suppression technology includes SPAIR technology and SPIR technology.

4. The method for identifying coronary artery stenosis characteristics based on coronary magnetic resonance angiography according to claim 1, characterized in that: The imaging quality assessment of the left and right coronary bright blood imaging obtained this time is performed to obtain a corresponding first assessment result, specifically including: Based on the preset five-level image quality evaluation rule, the imaging quality of the left and right coronary bright blood imaging is evaluated to obtain the corresponding first and second quality levels; the first and second quality levels both include one, two, three, four, and five levels, and the higher the level, the better the quality; The signal-to-noise ratio (SNR) parameters in the coronary artery in the left and right coronary bright blood imaging are calculated to obtain the corresponding first and second SNR values; and the contrast-to-noise ratio (CNR) parameters between the coronary artery and the adjacent heart tissue in the left and right coronary bright blood imaging are calculated to obtain the corresponding first and second CNR values; and when both the first and second quality levels exceed a preset first quality level threshold, and both the first and second SNR values ​​exceed a preset first SNR threshold, and both the first and second CNR values ​​exceed a preset first CNR threshold, setting the corresponding first evaluation result as qualified; And when the first and second quality levels fail to both exceed the first quality level threshold, or the first and second SNR values ​​fail to both exceed the first SNR threshold, or the first and second CNR values ​​fail to both exceed the first CNR threshold, the corresponding first evaluation result is set as unqualified.

5. The method for identifying coronary artery stenosis characteristics based on coronary magnetic resonance angiography according to claim 1, characterized in that: The subject is subjected to a respiratory navigation-gated DI RFSE sequence coronary artery magnetic resonance angiography to obtain corresponding left and right coronary artery black blood imaging, specifically comprising: The subject is placed in a supine position, and a VCG and a respiratory gating device are connected to the subject; the left and right coronary arteries of the subject are scanned once respectively using a designated magnetic resonance imaging device based on a respiratory navigation echo-triggered coronary artery magnetic resonance angiography scanning method, and the obtained scan images are used as the corresponding left and right coronary black blood images; and the DIR FSE sequence is used as the scanning imaging sequence during the scanning.

6. The method for identifying coronary artery stenosis characteristics based on coronary magnetic resonance angiography according to claim 1, characterized in that: The imaging quality assessment of the left and right coronary artery black blood images obtained this time is performed to obtain a corresponding second assessment result, specifically including: Based on the preset five-level image quality evaluation rule, the imaging quality of the left and right coronary black blood imaging is evaluated to obtain the corresponding third and fourth quality levels; the third and fourth quality levels both include one, two, three, four, and five levels, and the higher the level, the better the quality; The signal-to-noise ratio (SNR) parameters in the coronary artery in the left and right coronary black blood imaging are calculated to obtain corresponding third and fourth SNR values; and the contrast-to-noise ratio (CNR) parameters between the coronary artery and adjacent heart tissue in the left and right coronary black blood imaging are calculated to obtain corresponding third and fourth CNR values; and when the third and fourth quality levels both exceed the preset second quality level threshold, and the third and fourth SNR values ​​both exceed the preset second SNR threshold, and the third and fourth CNR values ​​both exceed the preset second CNR threshold, setting the corresponding second evaluation result as qualified; And when the third and fourth quality levels fail to both exceed the second quality level threshold, or the third and fourth SNR values ​​fail to both exceed the second SNR threshold, or the third and fourth CNR values ​​fail to both exceed the second CNR threshold, the corresponding second evaluation result is set as unqualified.

7. The method for identifying coronary artery stenosis characteristics based on coronary magnetic resonance angiography according to claim 1, characterized in that: The method of performing coronary artery plaque feature recognition based on the latest left and right coronary artery black blood imaging to obtain a corresponding first coronary artery plaque recognition result specifically includes: The inner wall edges of the blood vessels of the LM segment, LAD segment and LCX segment of the left coronary artery black blood imaging are identified to obtain the corresponding fifth, sixth and seventh blood vessel edges; and the inner wall edges of the blood vessels of the RCA segment of the right coronary artery black blood imaging are identified to obtain the corresponding eighth blood vessel edges; and plaque identification processing is performed based on the fifth, sixth, seventh and eighth blood vessel edges to obtain the corresponding first coronary plaque identification result; the first coronary plaque identification result includes one or more first plaque identification information; the first plaque identification information includes blood vessel segment information where the plaque is located, plaque location information, plaque size information, plaque load information, plaque SNR information and plaque CNR information; the blood vessel segment information where the plaque is located includes the LM segment, LAD segment, LCX segment and RCA segment blood vessels.

8. The method for identifying coronary artery stenosis characteristics based on coronary magnetic resonance angiography according to claim 7, characterized in that: The performing plaque recognition processing based on the fifth, sixth, seventh and eighth blood vessel edges to obtain the corresponding first coronary plaque recognition result specifically includes: The LM segment, LAD segment, LCX segment or RCA segment blood vessel corresponding to the fifth, sixth, seventh or eighth segment blood vessel edge is used as the corresponding current segment blood vessel; the left coronary artery black blood imaging or the right coronary artery black blood imaging corresponding to the current segment blood vessel is used as the corresponding current coronary artery black blood imaging; the fifth, sixth, seventh or eighth segment blood vessel edge is used as the corresponding current segment blood vessel edge; the current segment blood vessel includes the LM segment, LAD segment, LCX segment and RCA segment blood vessels; The left and right edges of the current segmented blood vessel edge are recorded as the corresponding left and right blood vessel edges; a strip-shaped imaging region with a width of a preset first width extending from the left blood vessel edge to the outside of the blood vessel on the current coronary black blood imaging is recorded as the corresponding left strip-shaped region; and a strip-shaped imaging region with a width of the first width extending from the right blood vessel edge to the outside of the blood vessel on the current coronary black blood imaging is recorded as the corresponding right strip-shaped region; and sequentially slicing the left and right stripe regions according to a preset slicing rule to obtain corresponding left and right stripe slicing region sequences; the left and right stripe slicing region sequences are both formed by sequentially arranging a plurality of stripe slicing regions; The plaque load parameter and signal-to-noise ratio (SNR) parameter of each of the strip slice regions are calculated to obtain a corresponding slice plaque load value and slice SNR value; the contrast-to-noise ratio (CNR) parameter of each of the strip slice regions and adjacent cardiac tissue is calculated to obtain a corresponding slice CNR value; and the strip slice region whose slice plaque load value is higher than a preset plaque load threshold, whose slice SNR value is higher than a preset plaque SNR value threshold, and whose slice CNR value is higher than a preset plaque CNR value threshold is recorded as a corresponding plaque slice region; In the left and right strip slice region sequences, first extract each individual plaque slice region that is not adjacent to other plaque slice regions as a corresponding first plaque region; then extract a plurality of plaque slice regions that are adjacent to each other and merge them into a corresponding first plaque region; and traverse each of the first plaque regions; and during the traversal, take the currently traversed first plaque region as the corresponding current plaque region; and take the current segmented blood vessel corresponding to the current plaque region as the corresponding blood vessel segment information where the plaque is located; and take the position information of the center point of the current plaque region on the current coronary black blood imaging as the corresponding plaque position information; and form the corresponding plaque size information from the width and height of the current plaque region; and take the maximum value of one or more slice plaque load values ​​corresponding to the current plaque region as the corresponding plaque load information; and take the maximum value of one or more slice SNR values ​​corresponding to the current plaque region as the corresponding plaque SNR information; and take the maximum value of one or more slice CNR values ​​corresponding to the current plaque region as the corresponding plaque CNR information; and form a corresponding first plaque identification information from the blood vessel segment information where the plaque is located, the plaque position information, the plaque size information, the plaque load information, the plaque SNR information and the plaque CNR information corresponding to the current plaque region; After the traversal is completed, all the first plaque identification information obtained constitutes the corresponding first coronary plaque identification result.

9. A device for executing the processing method for identifying coronary artery stenosis characteristics based on coronary magnetic resonance angiography according to any one of claims 1 to 8, characterized in that: The device comprises: a data receiving module, a coronary artery stenosis screening module, an identification report processing module and a report output module; The data receiving module is used to receive the personal information of the subject as the corresponding first personal information; The coronary stenosis screening module is used to perform a respiratory navigation-gated 3D sBTFE sequence coronary artery magnetic resonance angiography on the subject to obtain corresponding left and right coronary bright blood imaging; and to perform imaging quality assessment on the left and right coronary bright blood imaging obtained this time to obtain a corresponding first assessment result; and when the first assessment result is unqualified, continue to perform a respiratory navigation-gated 3D sBTFE sequence coronary artery magnetic resonance angiography on the subject until the first assessment result corresponding to the latest left and right coronary bright blood imaging is qualified; and when the first assessment result is qualified, perform coronary stenosis trend screening based on the latest left and right coronary bright blood imaging and the first personal information to obtain a corresponding first screening result; the first assessment result includes qualified and unqualified; the first screening result includes stenosis and non-stenosis; The identification report processing module is used for, when the first screening result is no stenosis, forming a corresponding coronary stenosis characteristic report based on the first personal information, the latest left and right coronary artery bright blood imaging and the first screening result; The identification report processing module is also used for, when the first screening result is stenosis, performing a respiratory navigation gated DIR FSE sequence coronary artery magnetic resonance angiography on the subject to obtain corresponding left and right coronary black blood imaging; and performing imaging quality assessment on the left and right coronary black blood imaging obtained this time to obtain a corresponding second assessment result; and when the second assessment result is unqualified, continuing to perform a respiratory navigation gated DIR FSE sequence coronary artery magnetic resonance angiography on the subject until the second assessment result corresponding to the latest left and right coronary black blood imaging is qualified; and when the second assessment result is qualified, performing coronary plaque feature recognition based on the latest left and right coronary black blood imaging to obtain a corresponding first coronary plaque recognition result; and forming the corresponding coronary stenosis feature report by the first personal information, the latest left and right coronary bright blood imaging, the latest left and right coronary black blood imaging, the first screening result and the first coronary plaque recognition result; the second assessment result includes qualified and unqualified; The report output module is used to output the coronary artery stenosis feature report as the corresponding coronary artery stenosis feature identification result.

10. An electronic device, characterized in that: include: memory, processors, and transceivers; The processor is used to couple with the memory, read and execute instructions in the memory, so as to implement the method according to any one of claims 1 to 8; The transceiver is coupled to the processor, and the processor controls the transceiver to send and receive messages.

11. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and when the computer instructions are executed by a computer, the computer is enabled to execute the method according to any one of claims 1 to 8.

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